Pandas Profiling Report

Dataset statistics

Number of variables	33
Number of observations	343
Missing cells	719
Missing cells (%)	6.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	88.6 KiB
Average record size in memory	264.4 B

Variable types

Categorical	27
Numeric	6

Warnings

`Address` has a high cardinality: 342 distinct values	High cardinality
`City` has a high cardinality: 142 distinct values	High cardinality
`Neighborhood` has a high cardinality: 214 distinct values	High cardinality
`Location Sales Volume Actual` has a high cardinality: 125 distinct values	High cardinality
`Location Sales Volume Range` is highly correlated with `Contract Labor Expenses` and 4 other fields	High correlation
`Metro Area` is highly correlated with `County` and 1 other fields	High correlation
`Contract Labor Expenses` is highly correlated with `Location Sales Volume Range` and 3 other fields	High correlation
`Insurance Expenses` is highly correlated with `Computer Expenses` and 1 other fields	High correlation
`Computer Expenses` is highly correlated with `Insurance Expenses` and 1 other fields	High correlation
`Advertising Expenses` is highly correlated with `Purchase Print Expenses` and 1 other fields	High correlation
`Payroll and Benefits Expenses` is highly correlated with `Accounting Expenses` and 2 other fields	High correlation
`Location Employee Size Range` is highly correlated with `Contract Labor Expenses`	High correlation
`Corporate Sales Volume Actual` is highly correlated with `Location Sales Volume Range` and 2 other fields	High correlation
`County` is highly correlated with `Metro Area` and 1 other fields	High correlation
`Accounting Expenses` is highly correlated with `Location Sales Volume Range` and 3 other fields	High correlation
`Purchase Print Expenses` is highly correlated with `Location Sales Volume Range` and 4 other fields	High correlation
`Company Name` is highly correlated with `Own or Lease`	High correlation
`Legal Expenses` is highly correlated with `Insurance Expenses` and 2 other fields	High correlation
`Office Supplies Expense` is highly correlated with `Location Sales Volume Range` and 4 other fields	High correlation
`Telcom Expenses` is highly correlated with `Legal Expenses`	High correlation
`State` is highly correlated with `Metro Area` and 1 other fields	High correlation
`Own or Lease` is highly correlated with `Contract Labor Expenses` and 2 other fields	High correlation
`Advertising Expenses` has 5 (1.5%) missing values	Missing
`Accounting Expenses` has 5 (1.5%) missing values	Missing
`Neighborhood` has 88 (25.7%) missing values	Missing
`ZIP Four` has 13 (3.8%) missing values	Missing
`Year Established` has 328 (95.6%) missing values	Missing
`Computer Expenses` has 5 (1.5%) missing values	Missing
`Contract Labor Expenses` has 5 (1.5%) missing values	Missing
`Insurance Expenses` has 5 (1.5%) missing values	Missing
`Legal Expenses` has 5 (1.5%) missing values	Missing
`Location Sales Volume Range` has 6 (1.7%) missing values	Missing
`Management/Administration Expenses` has 5 (1.5%) missing values	Missing
`Office Supplies Expense` has 5 (1.5%) missing values	Missing
`Own or Lease` has 215 (62.7%) missing values	Missing
`Package Container Expense` has 5 (1.5%) missing values	Missing
`Payroll and Benefits Expenses` has 4 (1.2%) missing values	Missing
`Purchase Print Expenses` has 5 (1.5%) missing values	Missing
`Rent Expenses` has 5 (1.5%) missing values	Missing
`Telcom Expenses` has 5 (1.5%) missing values	Missing
`Utilities Expenses` has 5 (1.5%) missing values	Missing
`Address` is uniformly distributed	Uniform
`Neighborhood` is uniformly distributed	Uniform

Reproduction

Analysis started	2021-01-21 00:51:57.525101
Analysis finished	2021-01-21 00:52:18.033345
Duration	20.51 seconds
Software version	pandas-profiling v2.10.0
Download configuration	config.yaml

Advertising Expenses
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	1.5%
Missing	5
Missing (%)	1.5%
Memory size	2.8 KiB

$20,000 to $50,000	285
$10,000 to $20,000	36
$50,000 to $100,000	14
Over $250,000	2
$5,000 to $10,000	1

Length

Max length	19
Median length	18
Mean length	18.00887574
Min length	13

Characters and Unicode

Total characters	6087
Distinct characters	13
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.3%

Sample

1st row	$20,000 to $50,000
2nd row	$20,000 to $50,000
3rd row	$20,000 to $50,000
4th row	$20,000 to $50,000
5th row	$20,000 to $50,000

Value	Count	Frequency (%)
$20,000 to $50,000	285	83.1%
$10,000 to $20,000	36	10.5%
$50,000 to $100,000	14	4.1%
Over $250,000	2	0.6%
$5,000 to $10,000	1	0.3%
(Missing)	5	1.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	336	33.2%
20,000	321	31.7%
50,000	299	29.5%
10,000	37	3.7%
100,000	14	1.4%
250,000	2	0.2%
over	2	0.2%
5,000	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	2709	44.5%
$	674	11.1%
,	674	11.1%
	674	11.1%
t	336	5.5%
o	336	5.5%
2	323	5.3%
5	302	5.0%
1	51	0.8%
O	2	< 0.1%
Other values (3)	6	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3385	55.6%
Lowercase Letter	678	11.1%
Currency Symbol	674	11.1%
Other Punctuation	674	11.1%
Space Separator	674	11.1%
Uppercase Letter	2	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	336	49.6%
o	336	49.6%
v	2	0.3%
e	2	0.3%
r	2	0.3%

Value	Count	Frequency (%)
0	2709	80.0%
2	323	9.5%
5	302	8.9%
1	51	1.5%

Value	Count	Frequency (%)
$	674	100.0%

Value	Count	Frequency (%)
,	674	100.0%

Value	Count	Frequency (%)
	674	100.0%

Value	Count	Frequency (%)
O	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5407	88.8%
Latin	680	11.2%

Most frequent character per script

Value	Count	Frequency (%)
0	2709	50.1%
$	674	12.5%
,	674	12.5%
	674	12.5%
2	323	6.0%
5	302	5.6%
1	51	0.9%

Value	Count	Frequency (%)
t	336	49.4%
o	336	49.4%
O	2	0.3%
v	2	0.3%
e	2	0.3%
r	2	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6087	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	2709	44.5%
$	674	11.1%
,	674	11.1%
	674	11.1%
t	336	5.5%
o	336	5.5%
2	323	5.3%
5	302	5.0%
1	51	0.8%
O	2	< 0.1%
Other values (3)	6	0.1%

Accounting Expenses
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	1.5%
Missing	5
Missing (%)	1.5%
Memory size	2.8 KiB

$2,500 to $5,000	258
$1,000 to $2,500	52
$5,000 to $10,000	25
Over $25,000	2
$500 to $1,000	1

Length

Max length	17
Median length	16
Mean length	16.0443787
Min length	12

Characters and Unicode

Total characters	5423
Distinct characters	13
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.3%

Sample

1st row	$2,500 to $5,000
2nd row	$2,500 to $5,000
3rd row	$2,500 to $5,000
4th row	$2,500 to $5,000
5th row	$2,500 to $5,000

Value	Count	Frequency (%)
$2,500 to $5,000	258	75.2%
$1,000 to $2,500	52	15.2%
$5,000 to $10,000	25	7.3%
Over $25,000	2	0.6%
$500 to $1,000	1	0.3%
(Missing)	5	1.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	336	33.2%
2,500	310	30.6%
5,000	283	28.0%
1,000	53	5.2%
10,000	25	2.5%
25,000	2	0.2%
over	2	0.2%
500	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1736	32.0%
$	674	12.4%
	674	12.4%
,	673	12.4%
5	596	11.0%
t	336	6.2%
o	336	6.2%
2	312	5.8%
1	78	1.4%
O	2	< 0.1%
Other values (3)	6	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2722	50.2%
Lowercase Letter	678	12.5%
Currency Symbol	674	12.4%
Space Separator	674	12.4%
Other Punctuation	673	12.4%
Uppercase Letter	2	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	336	49.6%
o	336	49.6%
v	2	0.3%
e	2	0.3%
r	2	0.3%

Value	Count	Frequency (%)
0	1736	63.8%
5	596	21.9%
2	312	11.5%
1	78	2.9%

Value	Count	Frequency (%)
$	674	100.0%

Value	Count	Frequency (%)
,	673	100.0%

Value	Count	Frequency (%)
	674	100.0%

Value	Count	Frequency (%)
O	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4743	87.5%
Latin	680	12.5%

Most frequent character per script

Value	Count	Frequency (%)
0	1736	36.6%
$	674	14.2%
	674	14.2%
,	673	14.2%
5	596	12.6%
2	312	6.6%
1	78	1.6%

Value	Count	Frequency (%)
t	336	49.4%
o	336	49.4%
O	2	0.3%
v	2	0.3%
e	2	0.3%
r	2	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5423	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1736	32.0%
$	674	12.4%
	674	12.4%
,	673	12.4%
5	596	11.0%
t	336	6.2%
o	336	6.2%
2	312	5.8%
1	78	1.4%
O	2	< 0.1%
Other values (3)	6	0.1%

Address
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	342
Distinct (%)	99.7%
Missing	0
Missing (%)	0.0%
Memory size	2.8 KiB

5707 Blue Lagoon Dr	2
13201 S Dixie Hwy	1
826 Central Park Ave	1
21603 Merrick Blvd	1
2343 Utica Ave # 1	1
Other values (337)	337

Length

Max length	30
Median length	17
Mean length	17.23906706
Min length	8

Characters and Unicode

Total characters	5913
Distinct characters	60
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	341 ?
Unique (%)	99.4%

Sample

1st row	1104 Sunrise Hwy
2nd row	3310 21st St
3rd row	3310 Astoria Blvd
4th row	335 E Main St
5th row	22210 Northern Blvd

Value	Count	Frequency (%)
5707 Blue Lagoon Dr	2	0.6%
13201 S Dixie Hwy	1	0.3%
826 Central Park Ave	1	0.3%
21603 Merrick Blvd	1	0.3%
2343 Utica Ave # 1	1	0.3%
5501 Corporate Way	1	0.3%
1300 Deer Park Ave	1	0.3%
1607 Westchester Ave # Radiosh	1	0.3%
1521 W Boynton Beach Blvd	1	0.3%
18750 NW 2nd Ave	1	0.3%
Other values (332)	332	96.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
ave	86	6.7%
st	64	5.0%
blvd	52	4.0%
rd	44	3.4%
w	38	2.9%
	28	2.2%
s	28	2.2%
hwy	26	2.0%
sw	21	1.6%
nw	20	1.6%
Other values (579)	883	68.4%

Most occurring characters

Value	Count	Frequency (%)
	947	16.0%
e	318	5.4%
1	301	5.1%
t	261	4.4%
0	251	4.2%
a	202	3.4%
d	189	3.2%
l	186	3.1%
r	181	3.1%
2	179	3.0%
Other values (50)	2898	49.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2584	43.7%
Decimal Number	1485	25.1%
Space Separator	947	16.0%
Uppercase Letter	864	14.6%
Other Punctuation	30	0.5%
Dash Punctuation	3	0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	318	12.3%
t	261	10.1%
a	202	7.8%
d	189	7.3%
l	186	7.2%
r	181	7.0%
n	162	6.3%
o	162	6.3%
i	153	5.9%
v	150	5.8%
Other values (14)	620	24.0%

Value	Count	Frequency (%)
S	142	16.4%
A	100	11.6%
W	92	10.6%
B	90	10.4%
R	69	8.0%
N	48	5.6%
H	46	5.3%
M	36	4.2%
C	36	4.2%
P	34	3.9%
Other values (13)	171	19.8%

Value	Count	Frequency (%)
1	301	20.3%
0	251	16.9%
2	179	12.1%
5	152	10.2%
3	120	8.1%
7	113	7.6%
4	102	6.9%
6	102	6.9%
9	93	6.3%
8	72	4.8%

Value	Count	Frequency (%)
	947	100.0%

Value	Count	Frequency (%)
#	30	100.0%

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3448	58.3%
Common	2465	41.7%

Most frequent character per script

Value	Count	Frequency (%)
e	318	9.2%
t	261	7.6%
a	202	5.9%
d	189	5.5%
l	186	5.4%
r	181	5.2%
n	162	4.7%
o	162	4.7%
i	153	4.4%
v	150	4.4%
Other values (37)	1484	43.0%

Value	Count	Frequency (%)
	947	38.4%
1	301	12.2%
0	251	10.2%
2	179	7.3%
5	152	6.2%
3	120	4.9%
7	113	4.6%
4	102	4.1%
6	102	4.1%
9	93	3.8%
Other values (3)	105	4.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5913	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	947	16.0%
e	318	5.4%
1	301	5.1%
t	261	4.4%
0	251	4.2%
a	202	3.4%
d	189	3.2%
l	186	3.1%
r	181	3.1%
2	179	3.0%
Other values (50)	2898	49.0%

City
Categorical

HIGH CARDINALITY

Distinct	142
Distinct (%)	41.4%
Missing	0
Missing (%)	0.0%
Memory size	2.8 KiB

Miami	44
Brooklyn	33
Bronx	18
New York	13
West Palm Beach	11
Other values (137)	224

Length

Max length	19
Median length	8
Mean length	9.244897959
Min length	5

Characters and Unicode

Total characters	3171
Distinct characters	49
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	95 ?
Unique (%)	27.7%

Sample

1st row	Amityville
2nd row	Astoria
3rd row	Astoria
4th row	Bay Shore
5th row	Bayside

Value	Count	Frequency (%)
Miami	44	12.8%
Brooklyn	33	9.6%
Bronx	18	5.2%
New York	13	3.8%
West Palm Beach	11	3.2%
Staten Island	10	2.9%
Fort Lauderdale	9	2.6%
Hialeah	8	2.3%
Jamaica	7	2.0%
Davie	6	1.7%
Other values (132)	184	53.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
miami	57	11.4%
brooklyn	33	6.6%
beach	31	6.2%
bronx	18	3.6%
new	16	3.2%
west	15	3.0%
palm	14	2.8%
york	13	2.6%
lauderdale	12	2.4%
island	10	2.0%
Other values (150)	281	56.2%

Most occurring characters

Value	Count	Frequency (%)
a	337	10.6%
e	256	8.1%
o	242	7.6%
i	218	6.9%
r	196	6.2%
n	194	6.1%
l	172	5.4%
	157	5.0%
t	149	4.7%
m	110	3.5%
Other values (39)	1140	36.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2514	79.3%
Uppercase Letter	500	15.8%
Space Separator	157	5.0%

Most frequent character per category

Value	Count	Frequency (%)
a	337	13.4%
e	256	10.2%
o	242	9.6%
i	218	8.7%
r	196	7.8%
n	194	7.7%
l	172	6.8%
t	149	5.9%
m	110	4.4%
s	94	3.7%
Other values (15)	546	21.7%

Value	Count	Frequency (%)
B	103	20.6%
M	67	13.4%
P	42	8.4%
S	34	6.8%
H	32	6.4%
L	29	5.8%
N	27	5.4%
C	26	5.2%
W	26	5.2%
F	19	3.8%
Other values (13)	95	19.0%

Value	Count	Frequency (%)
	157	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3014	95.0%
Common	157	5.0%

Most frequent character per script

Value	Count	Frequency (%)
a	337	11.2%
e	256	8.5%
o	242	8.0%
i	218	7.2%
r	196	6.5%
n	194	6.4%
l	172	5.7%
t	149	4.9%
m	110	3.6%
B	103	3.4%
Other values (38)	1037	34.4%

Value	Count	Frequency (%)
	157	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3171	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	337	10.6%
e	256	8.1%
o	242	7.6%
i	218	6.9%
r	196	6.2%
n	194	6.1%
l	172	5.4%
	157	5.0%
t	149	4.7%
m	110	3.5%
Other values (39)	1140	36.0%

State
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	2.8 KiB

NY	179
FL	164

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	686
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NY
2nd row	NY
3rd row	NY
4th row	NY
5th row	NY

Value	Count	Frequency (%)
NY	179	52.2%
FL	164	47.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
ny	179	52.2%
fl	164	47.8%

Most occurring characters

Value	Count	Frequency (%)
N	179	26.1%
Y	179	26.1%
F	164	23.9%
L	164	23.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	686	100.0%

Most frequent character per category

Value	Count	Frequency (%)
N	179	26.1%
Y	179	26.1%
F	164	23.9%
L	164	23.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	686	100.0%

Most frequent character per script

Value	Count	Frequency (%)
N	179	26.1%
Y	179	26.1%
F	164	23.9%
L	164	23.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	686	100.0%

Most frequent character per block

Value	Count	Frequency (%)
N	179	26.1%
Y	179	26.1%
F	164	23.9%
L	164	23.9%

County
Categorical

HIGH CORRELATION

Distinct	13
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Memory size	2.8 KiB

Miami Dade	82
Broward	49
Kings	34
Palm Beach	33
Suffolk	30
Other values (8)	115

Length

Max length	11
Median length	7
Mean length	7.752186589
Min length	5

Characters and Unicode

Total characters	2659
Distinct characters	31
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Suffolk
2nd row	Queens
3rd row	Queens
4th row	Suffolk
5th row	Queens

Value	Count	Frequency (%)
Miami Dade	82	23.9%
Broward	49	14.3%
Kings	34	9.9%
Palm Beach	33	9.6%
Suffolk	30	8.7%
Queens	29	8.5%
Nassau	27	7.9%
Bronx	18	5.2%
New York	13	3.8%
Westchester	12	3.5%
Other values (3)	16	4.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
dade	82	17.4%
miami	82	17.4%
broward	49	10.4%
kings	34	7.2%
palm	33	7.0%
beach	33	7.0%
suffolk	30	6.4%
queens	29	6.2%
nassau	27	5.7%
bronx	18	3.8%
Other values (6)	54	11.5%

Most occurring characters

Value	Count	Frequency (%)
a	339	12.7%
e	222	8.3%
i	208	7.8%
d	145	5.5%
s	141	5.3%
r	141	5.3%
	128	4.8%
m	127	4.8%
o	124	4.7%
B	100	3.8%
Other values (21)	984	37.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2060	77.5%
Uppercase Letter	471	17.7%
Space Separator	128	4.8%

Most frequent character per category

Value	Count	Frequency (%)
a	339	16.5%
e	222	10.8%
i	208	10.1%
d	145	7.0%
s	141	6.8%
r	141	6.8%
m	127	6.2%
o	124	6.0%
n	97	4.7%
u	88	4.3%
Other values (9)	428	20.8%

Value	Count	Frequency (%)
B	100	21.2%
M	82	17.4%
D	82	17.4%
N	40	8.5%
P	35	7.4%
K	34	7.2%
S	30	6.4%
Q	29	6.2%
R	14	3.0%
Y	13	2.8%

Value	Count	Frequency (%)
	128	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2531	95.2%
Common	128	4.8%

Most frequent character per script

Value	Count	Frequency (%)
a	339	13.4%
e	222	8.8%
i	208	8.2%
d	145	5.7%
s	141	5.6%
r	141	5.6%
m	127	5.0%
o	124	4.9%
B	100	4.0%
n	97	3.8%
Other values (20)	887	35.0%

Value	Count	Frequency (%)
	128	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2659	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	339	12.7%
e	222	8.3%
i	208	7.8%
d	145	5.5%
s	141	5.3%
r	141	5.3%
	128	4.8%
m	127	4.8%
o	124	4.7%
B	100	3.8%
Other values (21)	984	37.0%

Metro Area
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	2.8 KiB

Nw Yrk, NY-NJ-PA	179
Miami-Ft Ldr, FL	164

Length

Max length	16
Median length	16
Mean length	16
Min length	16

Characters and Unicode

Total characters	5488
Distinct characters	19
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Nw Yrk, NY-NJ-PA
2nd row	Nw Yrk, NY-NJ-PA
3rd row	Nw Yrk, NY-NJ-PA
4th row	Nw Yrk, NY-NJ-PA
5th row	Nw Yrk, NY-NJ-PA

Value	Count	Frequency (%)
Nw Yrk, NY-NJ-PA	179	52.2%
Miami-Ft Ldr, FL	164	47.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
yrk	179	17.4%
ny-nj-pa	179	17.4%
nw	179	17.4%
ldr	164	15.9%
fl	164	15.9%
miami-ft	164	15.9%

Most occurring characters

Value	Count	Frequency (%)
	686	12.5%
N	537	9.8%
-	522	9.5%
Y	358	6.5%
r	343	6.2%
,	343	6.2%
i	328	6.0%
F	328	6.0%
L	328	6.0%
w	179	3.3%
Other values (9)	1536	28.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2252	41.0%
Lowercase Letter	1685	30.7%
Space Separator	686	12.5%
Dash Punctuation	522	9.5%
Other Punctuation	343	6.2%

Most frequent character per category

Value	Count	Frequency (%)
N	537	23.8%
Y	358	15.9%
F	328	14.6%
L	328	14.6%
J	179	7.9%
P	179	7.9%
A	179	7.9%
M	164	7.3%

Value	Count	Frequency (%)
r	343	20.4%
i	328	19.5%
w	179	10.6%
k	179	10.6%
a	164	9.7%
m	164	9.7%
t	164	9.7%
d	164	9.7%

Value	Count	Frequency (%)
	686	100.0%

Value	Count	Frequency (%)
,	343	100.0%

Value	Count	Frequency (%)
-	522	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3937	71.7%
Common	1551	28.3%

Most frequent character per script

Value	Count	Frequency (%)
N	537	13.6%
Y	358	9.1%
r	343	8.7%
i	328	8.3%
F	328	8.3%
L	328	8.3%
w	179	4.5%
k	179	4.5%
J	179	4.5%
P	179	4.5%
Other values (6)	999	25.4%

Value	Count	Frequency (%)
	686	44.2%
-	522	33.7%
,	343	22.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5488	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	686	12.5%
N	537	9.8%
-	522	9.5%
Y	358	6.5%
r	343	6.2%
,	343	6.2%
i	328	6.0%
F	328	6.0%
L	328	6.0%
w	179	3.3%
Other values (9)	1536	28.0%

Neighborhood
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	214
Distinct (%)	83.9%
Missing	88
Missing (%)	25.7%
Memory size	2.8 KiB

Allapattah	4
Jackson Heights	4
East New York	3
Canarsie	3
University Park	3
Other values (209)	238

Length

Max length	31
Median length	12
Mean length	12.98039216
Min length	5

Characters and Unicode

Total characters	3310
Distinct characters	56
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	182 ?
Unique (%)	71.4%

Sample

1st row	North Amityville
2nd row	Astoria
3rd row	Astoria
4th row	Bay Shore
5th row	Bayside

Value	Count	Frequency (%)
Allapattah	4	1.2%
Jackson Heights	4	1.2%
East New York	3	0.9%
Canarsie	3	0.9%
University Park	3	0.9%
Financial District	3	0.9%
East Harlem	3	0.9%
Woodmere	2	0.6%
Farmingville	2	0.6%
Flatbush	2	0.6%
Other values (204)	226	65.9%
(Missing)	88	25.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
park	23	4.7%
east	17	3.5%
heights	14	2.9%
west	13	2.7%
north	13	2.7%
village	9	1.9%
district	8	1.6%
downtown	7	1.4%
bay	7	1.4%
lakes	7	1.4%
Other values (243)	368	75.7%

Most occurring characters

Value	Count	Frequency (%)
e	302	9.1%
a	286	8.6%
	231	7.0%
t	215	6.5%
r	211	6.4%
o	207	6.3%
l	192	5.8%
i	190	5.7%
s	177	5.3%
n	170	5.1%
Other values (46)	1129	34.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2580	77.9%
Uppercase Letter	489	14.8%
Space Separator	231	7.0%
Dash Punctuation	4	0.1%
Other Punctuation	3	0.1%
Decimal Number	3	0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	302	11.7%
a	286	11.1%
t	215	8.3%
r	211	8.2%
o	207	8.0%
l	192	7.4%
i	190	7.4%
s	177	6.9%
n	170	6.6%
h	79	3.1%
Other values (16)	551	21.4%

Value	Count	Frequency (%)
P	53	10.8%
C	52	10.6%
B	43	8.8%
H	40	8.2%
S	34	7.0%
W	29	5.9%
E	27	5.5%
L	26	5.3%
N	24	4.9%
M	21	4.3%
Other values (14)	140	28.6%

Value	Count	Frequency (%)
'	2	66.7%
.	1	33.3%

Value	Count	Frequency (%)
4	2	66.7%
1	1	33.3%

Value	Count	Frequency (%)
	231	100.0%

Value	Count	Frequency (%)
-	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3069	92.7%
Common	241	7.3%

Most frequent character per script

Value	Count	Frequency (%)
e	302	9.8%
a	286	9.3%
t	215	7.0%
r	211	6.9%
o	207	6.7%
l	192	6.3%
i	190	6.2%
s	177	5.8%
n	170	5.5%
h	79	2.6%
Other values (40)	1040	33.9%

Value	Count	Frequency (%)
	231	95.9%
-	4	1.7%
'	2	0.8%
4	2	0.8%
.	1	0.4%
1	1	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3310	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	302	9.1%
a	286	8.6%
	231	7.0%
t	215	6.5%
r	211	6.4%
o	207	6.3%
l	192	5.8%
i	190	5.7%
s	177	5.3%
n	170	5.1%
Other values (46)	1129	34.1%

ZIP Code
Real number (ℝ_≥0)

Distinct	257
Distinct (%)	74.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	21678.16035
Minimum	10001
Maximum	33484
Zeros	0
Zeros (%)	0.0%
Memory size	2.8 KiB

Quantile statistics

Minimum	10001
5-th percentile	10307.5
Q1	11223.5
median	11787
Q3	33165
95-th percentile	33427.8
Maximum	33484
Range	23483
Interquartile range (IQR)	21941.5

Descriptive statistics

Standard deviation	11066.18846
Coefficient of variation (CV)	0.5104763634
Kurtosis	-1.998906284
Mean	21678.16035
Median Absolute Deviation (MAD)	1758
Skewness	0.084241258
Sum	7435609
Variance	122460527.1
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
33165	4	1.2%
33157	4	1.2%
11236	4	1.2%
33166	4	1.2%
33126	4	1.2%
10314	4	1.2%
33351	3	0.9%
11003	3	0.9%
33016	3	0.9%
33015	3	0.9%
Other values (247)	307	89.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10001	1	0.3%
10002	1	0.3%
10004	1	0.3%
10006	1	0.3%
10007	1	0.3%

Value	Count	Frequency (%)
33484	1	0.3%
33483	1	0.3%
33470	1	0.3%
33463	2	0.6%
33462	2	0.6%

ZIP Four
Real number (ℝ_≥0)

MISSING

Distinct	312
Distinct (%)	94.5%
Missing	13
Missing (%)	3.8%
Infinite	0
Infinite (%)	0.0%

Mean	3679.99697
Minimum	1
Maximum	8410
Zeros	0
Zeros (%)	0.0%
Memory size	2.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1143.95
Q1	2305
median	3412.5
Q3	4800.75
95-th percentile	6953.6
Maximum	8410
Range	8409
Interquartile range (IQR)	2495.75

Descriptive statistics

Standard deviation	1774.287602
Coefficient of variation (CV)	0.4821437672
Kurtosis	-0.3377454182
Mean	3679.99697
Median Absolute Deviation (MAD)	1234
Skewness	0.5304775266
Sum	1214399
Variance	3148096.495
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4412	2	0.6%
4239	2	0.6%
4200	2	0.6%
4609	2	0.6%
3109	2	0.6%
2702	2	0.6%
2105	2	0.6%
1529	2	0.6%
3504	2	0.6%
1525	2	0.6%
Other values (302)	310	90.4%
(Missing)	13	3.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	0.3%
1002	1	0.3%
1003	1	0.3%
1004	1	0.3%
1005	1	0.3%

Value	Count	Frequency (%)
8410	1	0.3%
8318	1	0.3%
8270	1	0.3%
8215	1	0.3%
8143	1	0.3%

Year Established
Real number (ℝ_≥0)

MISSING

Distinct	9
Distinct (%)	60.0%
Missing	328
Missing (%)	95.6%
Infinite	0
Infinite (%)	0.0%

Mean	1994.933333
Minimum	1954
Maximum	2019
Zeros	0
Zeros (%)	0.0%
Memory size	2.8 KiB

Quantile statistics

Minimum	1954
5-th percentile	1954
Q1	1976
median	2002
Q3	2017
95-th percentile	2018.3
Maximum	2019
Range	65
Interquartile range (IQR)	41

Descriptive statistics

Standard deviation	26.64439546
Coefficient of variation (CV)	0.01335603301
Kurtosis	-0.9759928889
Mean	1994.933333
Median Absolute Deviation (MAD)	15
Skewness	-0.8882010631
Sum	29924
Variance	709.9238095
Monotocity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1954	4	1.2%
2018	2	0.6%
2017	2	0.6%
2000	2	0.6%
2002	1	0.3%
2019	1	0.3%
1998	1	0.3%
2003	1	0.3%
2016	1	0.3%
(Missing)	328	95.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1954	4	1.2%
1998	1	0.3%
2000	2	0.6%
2002	1	0.3%
2003	1	0.3%

Value	Count	Frequency (%)
2019	1	0.3%
2018	2	0.6%
2017	2	0.6%
2016	1	0.3%
2003	1	0.3%

Years In Database
Real number (ℝ_≥0)

Distinct	36
Distinct (%)	10.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	21.08746356
Minimum	1
Maximum	37
Zeros	0
Zeros (%)	0.0%
Memory size	2.8 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	10
median	22
Q3	35.5
95-th percentile	37
Maximum	37
Range	36
Interquartile range (IQR)	25.5

Descriptive statistics

Standard deviation	12.64233305
Coefficient of variation (CV)	0.5995189047
Kurtosis	-1.467933028
Mean	21.08746356
Median Absolute Deviation (MAD)	12
Skewness	-0.04323448486
Sum	7233
Variance	159.8285851
Monotocity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
37	85	24.8%
12	19	5.5%
13	16	4.7%
2	15	4.4%
10	15	4.4%
3	14	4.1%
22	11	3.2%
8	11	3.2%
15	10	2.9%
4	9	2.6%
Other values (26)	138	40.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	8	2.3%
2	15	4.4%
3	14	4.1%
4	9	2.6%
5	4	1.2%

Value	Count	Frequency (%)
37	85	24.8%
36	1	0.3%
35	6	1.7%
34	4	1.2%
33	7	2.0%

Company Name
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	2.8 KiB

Burger King	339
Burger King Holdings Inc	1
Burger King Management Office	1
Burger King Worldwide Inc	1
Veggie Burger King Corp	1

Length

Max length	29
Median length	11
Mean length	11.16618076
Min length	11

Characters and Unicode

Total characters	3830
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	1.2%

Sample

1st row	Burger King
2nd row	Burger King
3rd row	Burger King
4th row	Burger King
5th row	Burger King

Value	Count	Frequency (%)
Burger King	339	98.8%
Burger King Holdings Inc	1	0.3%
Burger King Management Office	1	0.3%
Burger King Worldwide Inc	1	0.3%
Veggie Burger King Corp	1	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
burger	343	49.4%
king	343	49.4%
inc	2	0.3%
worldwide	1	0.1%
management	1	0.1%
veggie	1	0.1%
corp	1	0.1%
holdings	1	0.1%
office	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
g	690	18.0%
r	688	18.0%
	351	9.2%
e	349	9.1%
n	348	9.1%
i	347	9.1%
B	343	9.0%
u	343	9.0%
K	343	9.0%
c	3	0.1%
Other values (17)	25	0.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2785	72.7%
Uppercase Letter	694	18.1%
Space Separator	351	9.2%

Most frequent character per category

Value	Count	Frequency (%)
g	690	24.8%
r	688	24.7%
e	349	12.5%
n	348	12.5%
i	347	12.5%
u	343	12.3%
c	3	0.1%
o	3	0.1%
d	3	0.1%
a	2	0.1%
Other values (7)	9	0.3%

Value	Count	Frequency (%)
B	343	49.4%
K	343	49.4%
I	2	0.3%
M	1	0.1%
O	1	0.1%
H	1	0.1%
W	1	0.1%
V	1	0.1%
C	1	0.1%

Value	Count	Frequency (%)
	351	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3479	90.8%
Common	351	9.2%

Most frequent character per script

Value	Count	Frequency (%)
g	690	19.8%
r	688	19.8%
e	349	10.0%
n	348	10.0%
i	347	10.0%
B	343	9.9%
u	343	9.9%
K	343	9.9%
c	3	0.1%
o	3	0.1%
Other values (16)	22	0.6%

Value	Count	Frequency (%)
	351	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3830	100.0%

Most frequent character per block

Value	Count	Frequency (%)
g	690	18.0%
r	688	18.0%
	351	9.2%
e	349	9.1%
n	348	9.1%
i	347	9.1%
B	343	9.0%
u	343	9.0%
K	343	9.0%
c	3	0.1%
Other values (17)	25	0.7%

Computer Expenses
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	1.5%
Missing	5
Missing (%)	1.5%
Memory size	2.8 KiB

$1,000 to $2,500	280
$2,500 to $5,000	47
$500 to $1,000	8
Over $50,000	2
Less than $500	1

Length

Max length	16
Median length	16
Mean length	15.92307692
Min length	12

Characters and Unicode

Total characters	5382
Distinct characters	18
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.3%

Sample

1st row	$1,000 to $2,500
2nd row	$1,000 to $2,500
3rd row	$1,000 to $2,500
4th row	$1,000 to $2,500
5th row	$2,500 to $5,000

Value	Count	Frequency (%)
$1,000 to $2,500	280	81.6%
$2,500 to $5,000	47	13.7%
$500 to $1,000	8	2.3%
Over $50,000	2	0.6%
Less than $500	1	0.3%
(Missing)	5	1.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	335	33.1%
2,500	327	32.3%
1,000	288	28.5%
5,000	47	4.6%
500	9	0.9%
50,000	2	0.2%
over	2	0.2%
less	1	0.1%
than	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1685	31.3%
	674	12.5%
$	673	12.5%
,	664	12.3%
5	385	7.2%
t	336	6.2%
o	335	6.2%
2	327	6.1%
1	288	5.4%
e	3	0.1%
Other values (8)	12	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2685	49.9%
Lowercase Letter	683	12.7%
Space Separator	674	12.5%
Currency Symbol	673	12.5%
Other Punctuation	664	12.3%
Uppercase Letter	3	0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	336	49.2%
o	335	49.0%
e	3	0.4%
v	2	0.3%
r	2	0.3%
s	2	0.3%
h	1	0.1%
a	1	0.1%
n	1	0.1%

Value	Count	Frequency (%)
0	1685	62.8%
5	385	14.3%
2	327	12.2%
1	288	10.7%

Value	Count	Frequency (%)
O	2	66.7%
L	1	33.3%

Value	Count	Frequency (%)
$	673	100.0%

Value	Count	Frequency (%)
,	664	100.0%

Value	Count	Frequency (%)
	674	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4696	87.3%
Latin	686	12.7%

Most frequent character per script

Value	Count	Frequency (%)
t	336	49.0%
o	335	48.8%
e	3	0.4%
O	2	0.3%
v	2	0.3%
r	2	0.3%
s	2	0.3%
L	1	0.1%
h	1	0.1%
a	1	0.1%

Value	Count	Frequency (%)
0	1685	35.9%
	674	14.4%
$	673	14.3%
,	664	14.1%
5	385	8.2%
2	327	7.0%
1	288	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5382	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1685	31.3%
	674	12.5%
$	673	12.5%
,	664	12.3%
5	385	7.2%
t	336	6.2%
o	335	6.2%
2	327	6.1%
1	288	5.4%
e	3	0.1%
Other values (8)	12	0.2%

Contract Labor Expenses
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	0.9%
Missing	5
Missing (%)	1.5%
Memory size	2.8 KiB

$1,000 to $10,000	336
Over $500,000	1
$250,000 to $500,000	1

Length

Max length	20
Median length	17
Mean length	16.99704142
Min length	13

Characters and Unicode

Total characters	5745
Distinct characters	13
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.6%

Sample

1st row	$1,000 to $10,000
2nd row	$1,000 to $10,000
3rd row	$1,000 to $10,000
4th row	$1,000 to $10,000
5th row	$1,000 to $10,000

Value	Count	Frequency (%)
$1,000 to $10,000	336	98.0%
Over $500,000	1	0.3%
$250,000 to $500,000	1	0.3%
(Missing)	5	1.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	337	33.3%
10,000	336	33.2%
1,000	336	33.2%
500,000	2	0.2%
250,000	1	0.1%
over	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	2366	41.2%
$	675	11.7%
,	675	11.7%
	675	11.7%
1	672	11.7%
t	337	5.9%
o	337	5.9%
5	3	0.1%
2	1	< 0.1%
O	1	< 0.1%
Other values (3)	3	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3042	53.0%
Lowercase Letter	677	11.8%
Currency Symbol	675	11.7%
Other Punctuation	675	11.7%
Space Separator	675	11.7%
Uppercase Letter	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	337	49.8%
o	337	49.8%
v	1	0.1%
e	1	0.1%
r	1	0.1%

Value	Count	Frequency (%)
0	2366	77.8%
1	672	22.1%
5	3	0.1%
2	1	< 0.1%

Value	Count	Frequency (%)
$	675	100.0%

Value	Count	Frequency (%)
,	675	100.0%

Value	Count	Frequency (%)
	675	100.0%

Value	Count	Frequency (%)
O	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5067	88.2%
Latin	678	11.8%

Most frequent character per script

Value	Count	Frequency (%)
0	2366	46.7%
$	675	13.3%
,	675	13.3%
	675	13.3%
1	672	13.3%
5	3	0.1%
2	1	< 0.1%

Value	Count	Frequency (%)
t	337	49.7%
o	337	49.7%
O	1	0.1%
v	1	0.1%
e	1	0.1%
r	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5745	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	2366	41.2%
$	675	11.7%
,	675	11.7%
	675	11.7%
1	672	11.7%
t	337	5.9%
o	337	5.9%
5	3	0.1%
2	1	< 0.1%
O	1	< 0.1%
Other values (3)	3	0.1%

Corporate Sales Volume Actual
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	2.8 KiB

$0	340
$803,666,000	1
$119,647,000	1
$1,146,300,000	1

Length

Max length	14
Median length	2
Mean length	2.093294461
Min length	2

Characters and Unicode

Total characters	718
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.9%

Sample

1st row	$0
2nd row	$0
3rd row	$0
4th row	$0
5th row	$0

Value	Count	Frequency (%)
$0	340	99.1%
$803,666,000	1	0.3%
$119,647,000	1	0.3%
$1,146,300,000	1	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	340	99.1%
1,146,300,000	1	0.3%
119,647,000	1	0.3%
803,666,000	1	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	352	49.0%
$	343	47.8%
,	7	1.0%
6	5	0.7%
1	4	0.6%
4	2	0.3%
3	2	0.3%
9	1	0.1%
7	1	0.1%
8	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	368	51.3%
Currency Symbol	343	47.8%
Other Punctuation	7	1.0%

Most frequent character per category

Value	Count	Frequency (%)
0	352	95.7%
6	5	1.4%
1	4	1.1%
4	2	0.5%
3	2	0.5%
9	1	0.3%
7	1	0.3%
8	1	0.3%

Value	Count	Frequency (%)
$	343	100.0%

Value	Count	Frequency (%)
,	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	718	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	352	49.0%
$	343	47.8%
,	7	1.0%
6	5	0.7%
1	4	0.6%
4	2	0.3%
3	2	0.3%
9	1	0.1%
7	1	0.1%
8	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	718	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	352	49.0%
$	343	47.8%
,	7	1.0%
6	5	0.7%
1	4	0.6%
4	2	0.3%
3	2	0.3%
9	1	0.1%
7	1	0.1%
8	1	0.1%

Insurance Expenses
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	1.5%
Missing	5
Missing (%)	1.5%
Memory size	2.8 KiB

$10,000 to $25,000	280
$25,000 to $50,000	47
$5,000 to $10,000	8
Over $100,000	2
$2,500 to $5,000	1

Length

Max length	18
Median length	18
Mean length	17.9408284
Min length	13

Characters and Unicode

Total characters	6064
Distinct characters	13
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.3%

Sample

1st row	$10,000 to $25,000
2nd row	$10,000 to $25,000
3rd row	$10,000 to $25,000
4th row	$10,000 to $25,000
5th row	$25,000 to $50,000

Value	Count	Frequency (%)
$10,000 to $25,000	280	81.6%
$25,000 to $50,000	47	13.7%
$5,000 to $10,000	8	2.3%
Over $100,000	2	0.6%
$2,500 to $5,000	1	0.3%
(Missing)	5	1.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	336	33.2%
25,000	327	32.3%
10,000	288	28.5%
50,000	47	4.6%
5,000	9	0.9%
over	2	0.2%
100,000	2	0.2%
2,500	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	2360	38.9%
$	674	11.1%
,	674	11.1%
	674	11.1%
5	384	6.3%
t	336	5.5%
o	336	5.5%
2	328	5.4%
1	290	4.8%
O	2	< 0.1%
Other values (3)	6	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3362	55.4%
Lowercase Letter	678	11.2%
Currency Symbol	674	11.1%
Other Punctuation	674	11.1%
Space Separator	674	11.1%
Uppercase Letter	2	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	336	49.6%
o	336	49.6%
v	2	0.3%
e	2	0.3%
r	2	0.3%

Value	Count	Frequency (%)
0	2360	70.2%
5	384	11.4%
2	328	9.8%
1	290	8.6%

Value	Count	Frequency (%)
$	674	100.0%

Value	Count	Frequency (%)
,	674	100.0%

Value	Count	Frequency (%)
	674	100.0%

Value	Count	Frequency (%)
O	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5384	88.8%
Latin	680	11.2%

Most frequent character per script

Value	Count	Frequency (%)
0	2360	43.8%
$	674	12.5%
,	674	12.5%
	674	12.5%
5	384	7.1%
2	328	6.1%
1	290	5.4%

Value	Count	Frequency (%)
t	336	49.4%
o	336	49.4%
O	2	0.3%
v	2	0.3%
e	2	0.3%
r	2	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6064	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	2360	38.9%
$	674	11.1%
,	674	11.1%
	674	11.1%
5	384	6.3%
t	336	5.5%
o	336	5.5%
2	328	5.4%
1	290	4.8%
O	2	< 0.1%
Other values (3)	6	0.1%

Last Updated On
Real number (ℝ_≥0)

Distinct	10
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	202009.8426
Minimum	201906
Maximum	202012
Zeros	0
Zeros (%)	0.0%
Memory size	2.8 KiB

Quantile statistics

Minimum	201906
5-th percentile	202007.1
Q1	202011
median	202011
Q3	202011
95-th percentile	202011
Maximum	202012
Range	106
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	9.835414371
Coefficient of variation (CV)	4.868779781 × 10⁵
Kurtosis	106.5070844
Mean	202009.8426
Median Absolute Deviation (MAD)	0
Skewness	-10.29363028
Sum	69289376
Variance	96.73537585
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
202011	309	90.1%
202012	14	4.1%
202007	8	2.3%
202002	3	0.9%
202008	2	0.6%
202001	2	0.6%
201906	2	0.6%
202006	1	0.3%
202004	1	0.3%
201907	1	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
201906	2	0.6%
201907	1	0.3%
202001	2	0.6%
202002	3	0.9%
202004	1	0.3%

Value	Count	Frequency (%)
202012	14	4.1%
202011	309	90.1%
202008	2	0.6%
202007	8	2.3%
202006	1	0.3%

Legal Expenses
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	1.5%
Missing	5
Missing (%)	1.5%
Memory size	2.8 KiB

$1,000 to $2,500	286
$2,500 to $5,000	40
$500 to $1,000	9
Over $25,000	2
Less than $500	1

Length

Max length	16
Median length	16
Mean length	15.91715976
Min length	12

Characters and Unicode

Total characters	5380
Distinct characters	18
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.3%

Sample

1st row	$1,000 to $2,500
2nd row	$1,000 to $2,500
3rd row	$1,000 to $2,500
4th row	$1,000 to $2,500
5th row	$1,000 to $2,500

Value	Count	Frequency (%)
$1,000 to $2,500	286	83.4%
$2,500 to $5,000	40	11.7%
$500 to $1,000	9	2.6%
Over $25,000	2	0.6%
Less than $500	1	0.3%
(Missing)	5	1.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	335	33.1%
2,500	326	32.2%
1,000	295	29.2%
5,000	40	4.0%
500	10	1.0%
25,000	2	0.2%
over	2	0.2%
less	1	0.1%
than	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1683	31.3%
	674	12.5%
$	673	12.5%
,	663	12.3%
5	378	7.0%
t	336	6.2%
o	335	6.2%
2	328	6.1%
1	295	5.5%
e	3	0.1%
Other values (8)	12	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2684	49.9%
Lowercase Letter	683	12.7%
Space Separator	674	12.5%
Currency Symbol	673	12.5%
Other Punctuation	663	12.3%
Uppercase Letter	3	0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	336	49.2%
o	335	49.0%
e	3	0.4%
v	2	0.3%
r	2	0.3%
s	2	0.3%
h	1	0.1%
a	1	0.1%
n	1	0.1%

Value	Count	Frequency (%)
0	1683	62.7%
5	378	14.1%
2	328	12.2%
1	295	11.0%

Value	Count	Frequency (%)
O	2	66.7%
L	1	33.3%

Value	Count	Frequency (%)
$	673	100.0%

Value	Count	Frequency (%)
,	663	100.0%

Value	Count	Frequency (%)
	674	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4694	87.2%
Latin	686	12.8%

Most frequent character per script

Value	Count	Frequency (%)
t	336	49.0%
o	335	48.8%
e	3	0.4%
O	2	0.3%
v	2	0.3%
r	2	0.3%
s	2	0.3%
L	1	0.1%
h	1	0.1%
a	1	0.1%

Value	Count	Frequency (%)
0	1683	35.9%
	674	14.4%
$	673	14.3%
,	663	14.1%
5	378	8.1%
2	328	7.0%
1	295	6.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5380	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1683	31.3%
	674	12.5%
$	673	12.5%
,	663	12.3%
5	378	7.0%
t	336	6.2%
o	335	6.2%
2	328	6.1%
1	295	5.5%
e	3	0.1%
Other values (8)	12	0.2%

Location Employee Size Actual
Real number (ℝ_≥0)

Distinct	36
Distinct (%)	10.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	32.65889213
Minimum	6
Maximum	1000
Zeros	0
Zeros (%)	0.0%
Memory size	2.8 KiB

Quantile statistics

Minimum	6
5-th percentile	14
Q1	20
median	25
Q3	25
95-th percentile	40
Maximum	1000
Range	994
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	89.78354559
Coefficient of variation (CV)	2.749130168
Kurtosis	109.5991316
Mean	32.65889213
Median Absolute Deviation (MAD)	3
Skewness	10.49190821
Sum	11202
Variance	8061.08506
Monotocity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
25	115	33.5%
20	31	9.0%
30	23	6.7%
22	19	5.5%
15	16	4.7%
35	13	3.8%
23	11	3.2%
24	11	3.2%
18	10	2.9%
14	10	2.9%
Other values (26)	84	24.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
6	2	0.6%
7	2	0.6%
10	3	0.9%
12	3	0.9%
13	3	0.9%

Value	Count	Frequency (%)
1000	2	0.6%
950	1	0.3%
60	3	0.9%
55	1	0.3%
50	3	0.9%

Location Employee Size Range
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	2.8 KiB

20 to 49	264
10 to 19	65
50 to 99	7
5 to 9	4
1000 to 4999	2

Length

Max length	12
Median length	8
Mean length	8.005830904
Min length	6

Characters and Unicode

Total characters	2746
Distinct characters	9
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.3%

Sample

1st row	20 to 49
2nd row	20 to 49
3rd row	20 to 49
4th row	20 to 49
5th row	20 to 49

Value	Count	Frequency (%)
20 to 49	264	77.0%
10 to 19	65	19.0%
50 to 99	7	2.0%
5 to 9	4	1.2%
1000 to 4999	2	0.6%
500 to 999	1	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	343	33.3%
20	264	25.7%
49	264	25.7%
19	65	6.3%
10	65	6.3%
50	7	0.7%
99	7	0.7%
9	4	0.4%
5	4	0.4%
4999	2	0.2%
Other values (3)	4	0.4%

Most occurring characters

Value	Count	Frequency (%)
	686	25.0%
9	356	13.0%
0	344	12.5%
t	343	12.5%
o	343	12.5%
4	266	9.7%
2	264	9.6%
1	132	4.8%
5	12	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1374	50.0%
Space Separator	686	25.0%
Lowercase Letter	686	25.0%

Most frequent character per category

Value	Count	Frequency (%)
9	356	25.9%
0	344	25.0%
4	266	19.4%
2	264	19.2%
1	132	9.6%
5	12	0.9%

Value	Count	Frequency (%)
t	343	50.0%
o	343	50.0%

Value	Count	Frequency (%)
	686	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2060	75.0%
Latin	686	25.0%

Most frequent character per script

Value	Count	Frequency (%)
	686	33.3%
9	356	17.3%
0	344	16.7%
4	266	12.9%
2	264	12.8%
1	132	6.4%
5	12	0.6%

Value	Count	Frequency (%)
t	343	50.0%
o	343	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2746	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	686	25.0%
9	356	13.0%
0	344	12.5%
t	343	12.5%
o	343	12.5%
4	266	9.7%
2	264	9.6%
1	132	4.8%
5	12	0.4%

Location Sales Volume Actual
Categorical

HIGH CARDINALITY

Distinct	125
Distinct (%)	36.4%
Missing	0
Missing (%)	0.0%
Memory size	2.8 KiB

$1,128,000	20
$1,299,000	17
$1,186,000	15
$1,303,000	13
$1,318,000	9
Other values (120)	269

Length

Max length	10
Median length	10
Mean length	9.469387755
Min length	2

Characters and Unicode

Total characters	3248
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	65 ?
Unique (%)	19.0%

Sample

1st row	$1,180,000
2nd row	$1,186,000
3rd row	$1,186,000
4th row	$1,405,000
5th row	$1,660,000

Value	Count	Frequency (%)
$1,128,000	20	5.8%
$1,299,000	17	5.0%
$1,186,000	15	4.4%
$1,303,000	13	3.8%
$1,318,000	9	2.6%
$2,447,000	9	2.6%
$1,039,000	8	2.3%
$1,162,000	8	2.3%
$1,818,000	7	2.0%
$1,481,000	7	2.0%
Other values (115)	230	67.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
1,128,000	20	5.8%
1,299,000	17	5.0%
1,186,000	15	4.4%
1,303,000	13	3.8%
1,318,000	9	2.6%
2,447,000	9	2.6%
1,162,000	8	2.3%
1,039,000	8	2.3%
1,818,000	7	2.0%
1,481,000	7	2.0%
Other values (115)	230	67.1%

Most occurring characters

Value	Count	Frequency (%)
0	1098	33.8%
,	607	18.7%
1	388	11.9%
$	343	10.6%
8	127	3.9%
3	119	3.7%
2	110	3.4%
4	109	3.4%
9	99	3.0%
5	85	2.6%
Other values (2)	163	5.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2298	70.8%
Other Punctuation	607	18.7%
Currency Symbol	343	10.6%

Most frequent character per category

Value	Count	Frequency (%)
0	1098	47.8%
1	388	16.9%
8	127	5.5%
3	119	5.2%
2	110	4.8%
4	109	4.7%
9	99	4.3%
5	85	3.7%
6	84	3.7%
7	79	3.4%

Value	Count	Frequency (%)
$	343	100.0%

Value	Count	Frequency (%)
,	607	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3248	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1098	33.8%
,	607	18.7%
1	388	11.9%
$	343	10.6%
8	127	3.9%
3	119	3.7%
2	110	3.4%
4	109	3.4%
9	99	3.0%
5	85	2.6%
Other values (2)	163	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3248	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1098	33.8%
,	607	18.7%
1	388	11.9%
$	343	10.6%
8	127	3.9%
3	119	3.7%
2	110	3.4%
4	109	3.4%
9	99	3.0%
5	85	2.6%
Other values (2)	163	5.0%

Location Sales Volume Range
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	0.9%
Missing	6
Missing (%)	1.7%
Memory size	2.8 KiB

$1-2.5 Million	270
$500,000-1 Million	66
Less Than $500,000	1

Length

Max length	18
Median length	14
Mean length	14.79525223
Min length	14

Characters and Unicode

Total characters	4986
Distinct characters	20
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.3%

Sample

1st row	$1-2.5 Million
2nd row	$1-2.5 Million
3rd row	$1-2.5 Million
4th row	$1-2.5 Million
5th row	$1-2.5 Million

Value	Count	Frequency (%)
$1-2.5 Million	270	78.7%
$500,000-1 Million	66	19.2%
Less Than $500,000	1	0.3%
(Missing)	6	1.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
million	336	49.8%
1-2.5	270	40.0%
500,000-1	66	9.8%
less	1	0.1%
500,000	1	0.1%
than	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
i	672	13.5%
l	672	13.5%
	338	6.8%
$	337	6.8%
5	337	6.8%
n	337	6.8%
1	336	6.7%
-	336	6.7%
M	336	6.7%
o	336	6.7%
Other values (10)	949	19.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2022	40.6%
Decimal Number	1278	25.6%
Space Separator	338	6.8%
Uppercase Letter	338	6.8%
Currency Symbol	337	6.8%
Other Punctuation	337	6.8%
Dash Punctuation	336	6.7%

Most frequent character per category

Value	Count	Frequency (%)
i	672	33.2%
l	672	33.2%
n	337	16.7%
o	336	16.6%
s	2	0.1%
e	1	< 0.1%
h	1	< 0.1%
a	1	< 0.1%

Value	Count	Frequency (%)
5	337	26.4%
1	336	26.3%
0	335	26.2%
2	270	21.1%

Value	Count	Frequency (%)
M	336	99.4%
L	1	0.3%
T	1	0.3%

Value	Count	Frequency (%)
.	270	80.1%
,	67	19.9%

Value	Count	Frequency (%)
$	337	100.0%

Value	Count	Frequency (%)
-	336	100.0%

Value	Count	Frequency (%)
	338	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2626	52.7%
Latin	2360	47.3%

Most frequent character per script

Value	Count	Frequency (%)
i	672	28.5%
l	672	28.5%
n	337	14.3%
M	336	14.2%
o	336	14.2%
s	2	0.1%
L	1	< 0.1%
e	1	< 0.1%
T	1	< 0.1%
h	1	< 0.1%

Value	Count	Frequency (%)
	338	12.9%
$	337	12.8%
5	337	12.8%
1	336	12.8%
-	336	12.8%
0	335	12.8%
2	270	10.3%
.	270	10.3%
,	67	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4986	100.0%

Most frequent character per block

Value	Count	Frequency (%)
i	672	13.5%
l	672	13.5%
	338	6.8%
$	337	6.8%
5	337	6.8%
n	337	6.8%
1	336	6.7%
-	336	6.7%
M	336	6.7%
o	336	6.7%
Other values (10)	949	19.0%

Management/Administration Expenses
Categorical

MISSING

Distinct	5
Distinct (%)	1.5%
Missing	5
Missing (%)	1.5%
Memory size	2.8 KiB

$5,000 to $10,000	243
$10,000 to $25,000	71
$2,500 to $5,000	21
Over $100,000	2
Less than $2,500	1

Length

Max length	18
Median length	17
Mean length	17.12130178
Min length	13

Characters and Unicode

Total characters	5787
Distinct characters	18
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.3%

Sample

1st row	$5,000 to $10,000
2nd row	$5,000 to $10,000
3rd row	$5,000 to $10,000
4th row	$5,000 to $10,000
5th row	$10,000 to $25,000

Value	Count	Frequency (%)
$5,000 to $10,000	243	70.8%
$10,000 to $25,000	71	20.7%
$2,500 to $5,000	21	6.1%
Over $100,000	2	0.6%
Less than $2,500	1	0.3%
(Missing)	5	1.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	335	33.1%
10,000	314	31.0%
5,000	264	26.1%
25,000	71	7.0%
2,500	22	2.2%
over	2	0.2%
100,000	2	0.2%
less	1	0.1%
than	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	2315	40.0%
	674	11.6%
$	673	11.6%
,	673	11.6%
5	357	6.2%
t	336	5.8%
o	335	5.8%
1	316	5.5%
2	93	1.6%
e	3	0.1%
Other values (8)	12	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3081	53.2%
Lowercase Letter	683	11.8%
Space Separator	674	11.6%
Currency Symbol	673	11.6%
Other Punctuation	673	11.6%
Uppercase Letter	3	0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	336	49.2%
o	335	49.0%
e	3	0.4%
v	2	0.3%
r	2	0.3%
s	2	0.3%
h	1	0.1%
a	1	0.1%
n	1	0.1%

Value	Count	Frequency (%)
0	2315	75.1%
5	357	11.6%
1	316	10.3%
2	93	3.0%

Value	Count	Frequency (%)
O	2	66.7%
L	1	33.3%

Value	Count	Frequency (%)
$	673	100.0%

Value	Count	Frequency (%)
,	673	100.0%

Value	Count	Frequency (%)
	674	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5101	88.1%
Latin	686	11.9%

Most frequent character per script

Value	Count	Frequency (%)
t	336	49.0%
o	335	48.8%
e	3	0.4%
O	2	0.3%
v	2	0.3%
r	2	0.3%
s	2	0.3%
L	1	0.1%
h	1	0.1%
a	1	0.1%

Value	Count	Frequency (%)
0	2315	45.4%
	674	13.2%
$	673	13.2%
,	673	13.2%
5	357	7.0%
1	316	6.2%
2	93	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5787	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	2315	40.0%
	674	11.6%
$	673	11.6%
,	673	11.6%
5	357	6.2%
t	336	5.8%
o	335	5.8%
1	316	5.5%
2	93	1.6%
e	3	0.1%
Other values (8)	12	0.2%

Office Supplies Expense
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	1.2%
Missing	5
Missing (%)	1.5%
Memory size	2.8 KiB

$20,000 to $50,000	265
$10,000 to $20,000	70
Over $250,000	2
$5,000 to $10,000	1

Length

Max length	18
Median length	18
Mean length	17.96745562
Min length	13

Characters and Unicode

Total characters	6073
Distinct characters	13
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.3%

Sample

1st row	$20,000 to $50,000
2nd row	$20,000 to $50,000
3rd row	$20,000 to $50,000
4th row	$20,000 to $50,000
5th row	$20,000 to $50,000

Value	Count	Frequency (%)
$20,000 to $50,000	265	77.3%
$10,000 to $20,000	70	20.4%
Over $250,000	2	0.6%
$5,000 to $10,000	1	0.3%
(Missing)	5	1.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	336	33.2%
20,000	335	33.1%
50,000	265	26.2%
10,000	71	7.0%
250,000	2	0.2%
over	2	0.2%
5,000	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	2695	44.4%
$	674	11.1%
,	674	11.1%
	674	11.1%
2	337	5.5%
t	336	5.5%
o	336	5.5%
5	268	4.4%
1	71	1.2%
O	2	< 0.1%
Other values (3)	6	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3371	55.5%
Lowercase Letter	678	11.2%
Currency Symbol	674	11.1%
Other Punctuation	674	11.1%
Space Separator	674	11.1%
Uppercase Letter	2	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	336	49.6%
o	336	49.6%
v	2	0.3%
e	2	0.3%
r	2	0.3%

Value	Count	Frequency (%)
0	2695	79.9%
2	337	10.0%
5	268	8.0%
1	71	2.1%

Value	Count	Frequency (%)
$	674	100.0%

Value	Count	Frequency (%)
,	674	100.0%

Value	Count	Frequency (%)
	674	100.0%

Value	Count	Frequency (%)
O	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5393	88.8%
Latin	680	11.2%

Most frequent character per script

Value	Count	Frequency (%)
0	2695	50.0%
$	674	12.5%
,	674	12.5%
	674	12.5%
2	337	6.2%
5	268	5.0%
1	71	1.3%

Value	Count	Frequency (%)
t	336	49.4%
o	336	49.4%
O	2	0.3%
v	2	0.3%
e	2	0.3%
r	2	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6073	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	2695	44.4%
$	674	11.1%
,	674	11.1%
	674	11.1%
2	337	5.5%
t	336	5.5%
o	336	5.5%
5	268	4.4%
1	71	1.2%
O	2	< 0.1%
Other values (3)	6	0.1%

Own or Lease
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	2.3%
Missing	215
Missing (%)	62.7%
Memory size	2.8 KiB

Lease	48
Own	43
Unknown	37

Length

Max length	7
Median length	5
Mean length	4.90625
Min length	3

Characters and Unicode

Total characters	628
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Own
2nd row	Unknown
3rd row	Own
4th row	Lease
5th row	Own

Value	Count	Frequency (%)
Lease	48	14.0%
Own	43	12.5%
Unknown	37	10.8%
(Missing)	215	62.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
lease	48	37.5%
own	43	33.6%
unknown	37	28.9%

Most occurring characters

Value	Count	Frequency (%)
n	154	24.5%
e	96	15.3%
w	80	12.7%
L	48	7.6%
a	48	7.6%
s	48	7.6%
O	43	6.8%
U	37	5.9%
k	37	5.9%
o	37	5.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	500	79.6%
Uppercase Letter	128	20.4%

Most frequent character per category

Value	Count	Frequency (%)
n	154	30.8%
e	96	19.2%
w	80	16.0%
a	48	9.6%
s	48	9.6%
k	37	7.4%
o	37	7.4%

Value	Count	Frequency (%)
L	48	37.5%
O	43	33.6%
U	37	28.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	628	100.0%

Most frequent character per script

Value	Count	Frequency (%)
n	154	24.5%
e	96	15.3%
w	80	12.7%
L	48	7.6%
a	48	7.6%
s	48	7.6%
O	43	6.8%
U	37	5.9%
k	37	5.9%
o	37	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	628	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	154	24.5%
e	96	15.3%
w	80	12.7%
L	48	7.6%
a	48	7.6%
s	48	7.6%
O	43	6.8%
U	37	5.9%
k	37	5.9%
o	37	5.9%

Package Container Expense
Categorical

MISSING

Distinct	4
Distinct (%)	1.2%
Missing	5
Missing (%)	1.5%
Memory size	2.8 KiB

$10,000 to $25,000	242
$5,000 to $10,000	88
$1,000 to $5,000	6
Over $50,000	2

Length

Max length	18
Median length	18
Mean length	17.66863905
Min length	12

Characters and Unicode

Total characters	5972
Distinct characters	13
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$10,000 to $25,000
2nd row	$10,000 to $25,000
3rd row	$10,000 to $25,000
4th row	$10,000 to $25,000
5th row	$10,000 to $25,000

Value	Count	Frequency (%)
$10,000 to $25,000	242	70.6%
$5,000 to $10,000	88	25.7%
$1,000 to $5,000	6	1.7%
Over $50,000	2	0.6%
(Missing)	5	1.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	336	33.2%
10,000	330	32.6%
25,000	242	23.9%
5,000	94	9.3%
1,000	6	0.6%
50,000	2	0.2%
over	2	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	2354	39.4%
$	674	11.3%
,	674	11.3%
	674	11.3%
5	338	5.7%
1	336	5.6%
t	336	5.6%
o	336	5.6%
2	242	4.1%
O	2	< 0.1%
Other values (3)	6	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3270	54.8%
Lowercase Letter	678	11.4%
Currency Symbol	674	11.3%
Other Punctuation	674	11.3%
Space Separator	674	11.3%
Uppercase Letter	2	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	336	49.6%
o	336	49.6%
v	2	0.3%
e	2	0.3%
r	2	0.3%

Value	Count	Frequency (%)
0	2354	72.0%
5	338	10.3%
1	336	10.3%
2	242	7.4%

Value	Count	Frequency (%)
$	674	100.0%

Value	Count	Frequency (%)
,	674	100.0%

Value	Count	Frequency (%)
	674	100.0%

Value	Count	Frequency (%)
O	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5292	88.6%
Latin	680	11.4%

Most frequent character per script

Value	Count	Frequency (%)
0	2354	44.5%
$	674	12.7%
,	674	12.7%
	674	12.7%
5	338	6.4%
1	336	6.3%
2	242	4.6%

Value	Count	Frequency (%)
t	336	49.4%
o	336	49.4%
O	2	0.3%
v	2	0.3%
e	2	0.3%
r	2	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5972	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	2354	39.4%
$	674	11.3%
,	674	11.3%
	674	11.3%
5	338	5.7%
1	336	5.6%
t	336	5.6%
o	336	5.6%
2	242	4.1%
O	2	< 0.1%
Other values (3)	6	0.1%

Payroll and Benefits Expenses
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	1.5%
Missing	4
Missing (%)	1.2%
Memory size	2.8 KiB

$250,000 to $500,000	253
$100,000 to $250,000	43
$500,000 to $1 Million	39
Over $10 Million	3
Less than $100,000	1

Length

Max length	22
Median length	20
Mean length	20.18879056
Min length	16

Characters and Unicode

Total characters	6844
Distinct characters	21
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.3%

Sample

1st row	$250,000 to $500,000
2nd row	$250,000 to $500,000
3rd row	$250,000 to $500,000
4th row	$250,000 to $500,000
5th row	$250,000 to $500,000

Value	Count	Frequency (%)
$250,000 to $500,000	253	73.8%
$100,000 to $250,000	43	12.5%
$500,000 to $1 Million	39	11.4%
Over $10 Million	3	0.9%
Less than $100,000	1	0.3%
(Missing)	4	1.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	335	31.7%
250,000	296	28.0%
500,000	292	27.7%
100,000	44	4.2%
million	42	4.0%
1	39	3.7%
10	3	0.3%
over	3	0.3%
less	1	0.1%
than	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	2867	41.9%
	717	10.5%
$	674	9.8%
,	632	9.2%
5	588	8.6%
o	377	5.5%
t	336	4.9%
2	296	4.3%
1	86	1.3%
i	84	1.2%
Other values (11)	187	2.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3837	56.1%
Lowercase Letter	938	13.7%
Space Separator	717	10.5%
Currency Symbol	674	9.8%
Other Punctuation	632	9.2%
Uppercase Letter	46	0.7%

Most frequent character per category

Value	Count	Frequency (%)
o	377	40.2%
t	336	35.8%
i	84	9.0%
l	84	9.0%
n	43	4.6%
e	4	0.4%
v	3	0.3%
r	3	0.3%
s	2	0.2%
h	1	0.1%

Value	Count	Frequency (%)
0	2867	74.7%
5	588	15.3%
2	296	7.7%
1	86	2.2%

Value	Count	Frequency (%)
M	42	91.3%
O	3	6.5%
L	1	2.2%

Value	Count	Frequency (%)
$	674	100.0%

Value	Count	Frequency (%)
,	632	100.0%

Value	Count	Frequency (%)
	717	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5860	85.6%
Latin	984	14.4%

Most frequent character per script

Value	Count	Frequency (%)
o	377	38.3%
t	336	34.1%
i	84	8.5%
l	84	8.5%
n	43	4.4%
M	42	4.3%
e	4	0.4%
O	3	0.3%
v	3	0.3%
r	3	0.3%
Other values (4)	5	0.5%

Value	Count	Frequency (%)
0	2867	48.9%
	717	12.2%
$	674	11.5%
,	632	10.8%
5	588	10.0%
2	296	5.1%
1	86	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6844	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	2867	41.9%
	717	10.5%
$	674	9.8%
,	632	9.2%
5	588	8.6%
o	377	5.5%
t	336	4.9%
2	296	4.3%
1	86	1.3%
i	84	1.2%
Other values (11)	187	2.7%

Purchase Print Expenses
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	1.2%
Missing	5
Missing (%)	1.5%
Memory size	2.8 KiB

$1,000 to $2,500	273
$500 to $1,000	62
Over $25,000	2
Less than $500	1

Length

Max length	16
Median length	16
Mean length	15.6035503
Min length	12

Characters and Unicode

Total characters	5274
Distinct characters	18
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.3%

Sample

1st row	$1,000 to $2,500
2nd row	$1,000 to $2,500
3rd row	$1,000 to $2,500
4th row	$1,000 to $2,500
5th row	$1,000 to $2,500

Value	Count	Frequency (%)
$1,000 to $2,500	273	79.6%
$500 to $1,000	62	18.1%
Over $25,000	2	0.6%
Less than $500	1	0.3%
(Missing)	5	1.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
1,000	335	33.1%
to	335	33.1%
2,500	273	27.0%
500	63	6.2%
25,000	2	0.2%
over	2	0.2%
less	1	0.1%
than	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1683	31.9%
	674	12.8%
$	673	12.8%
,	610	11.6%
5	338	6.4%
t	336	6.4%
1	335	6.4%
o	335	6.4%
2	275	5.2%
e	3	0.1%
Other values (8)	12	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2631	49.9%
Lowercase Letter	683	13.0%
Space Separator	674	12.8%
Currency Symbol	673	12.8%
Other Punctuation	610	11.6%
Uppercase Letter	3	0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	336	49.2%
o	335	49.0%
e	3	0.4%
v	2	0.3%
r	2	0.3%
s	2	0.3%
h	1	0.1%
a	1	0.1%
n	1	0.1%

Value	Count	Frequency (%)
0	1683	64.0%
5	338	12.8%
1	335	12.7%
2	275	10.5%

Value	Count	Frequency (%)
O	2	66.7%
L	1	33.3%

Value	Count	Frequency (%)
$	673	100.0%

Value	Count	Frequency (%)
,	610	100.0%

Value	Count	Frequency (%)
	674	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4588	87.0%
Latin	686	13.0%

Most frequent character per script

Value	Count	Frequency (%)
t	336	49.0%
o	335	48.8%
e	3	0.4%
O	2	0.3%
v	2	0.3%
r	2	0.3%
s	2	0.3%
L	1	0.1%
h	1	0.1%
a	1	0.1%

Value	Count	Frequency (%)
0	1683	36.7%
	674	14.7%
$	673	14.7%
,	610	13.3%
5	338	7.4%
1	335	7.3%
2	275	6.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5274	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1683	31.9%
	674	12.8%
$	673	12.8%
,	610	11.6%
5	338	6.4%
t	336	6.4%
1	335	6.4%
o	335	6.4%
2	275	5.2%
e	3	0.1%
Other values (8)	12	0.2%

Rent Expenses
Categorical

MISSING

Distinct	6
Distinct (%)	1.8%
Missing	5
Missing (%)	1.5%
Memory size	2.8 KiB

$10,000 to $25,000	202
$50,000 to $100,000	72
$25,000 to $50,000	27
Less than $10,000	24
$100,000 to $250,000	11

Length

Max length	20
Median length	18
Mean length	18.17751479
Min length	13

Characters and Unicode

Total characters	6144
Distinct characters	18
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$10,000 to $25,000
2nd row	$50,000 to $100,000
3rd row	$10,000 to $25,000
4th row	$10,000 to $25,000
5th row	$50,000 to $100,000

Value	Count	Frequency (%)
$10,000 to $25,000	202	58.9%
$50,000 to $100,000	72	21.0%
$25,000 to $50,000	27	7.9%
Less than $10,000	24	7.0%
$100,000 to $250,000	11	3.2%
Over $500,000	2	0.6%
(Missing)	5	1.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	312	30.8%
25,000	229	22.6%
10,000	226	22.3%
50,000	99	9.8%
100,000	83	8.2%
less	24	2.4%
than	24	2.4%
250,000	11	1.1%
500,000	2	0.2%
over	2	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	2456	40.0%
	674	11.0%
$	650	10.6%
,	650	10.6%
5	341	5.6%
t	336	5.5%
o	312	5.1%
1	309	5.0%
2	240	3.9%
s	48	0.8%
Other values (8)	128	2.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3346	54.5%
Lowercase Letter	798	13.0%
Space Separator	674	11.0%
Currency Symbol	650	10.6%
Other Punctuation	650	10.6%
Uppercase Letter	26	0.4%

Most frequent character per category

Value	Count	Frequency (%)
t	336	42.1%
o	312	39.1%
s	48	6.0%
e	26	3.3%
h	24	3.0%
a	24	3.0%
n	24	3.0%
v	2	0.3%
r	2	0.3%

Value	Count	Frequency (%)
0	2456	73.4%
5	341	10.2%
1	309	9.2%
2	240	7.2%

Value	Count	Frequency (%)
L	24	92.3%
O	2	7.7%

Value	Count	Frequency (%)
$	650	100.0%

Value	Count	Frequency (%)
,	650	100.0%

Value	Count	Frequency (%)
	674	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5320	86.6%
Latin	824	13.4%

Most frequent character per script

Value	Count	Frequency (%)
t	336	40.8%
o	312	37.9%
s	48	5.8%
e	26	3.2%
L	24	2.9%
h	24	2.9%
a	24	2.9%
n	24	2.9%
O	2	0.2%
v	2	0.2%

Value	Count	Frequency (%)
0	2456	46.2%
	674	12.7%
$	650	12.2%
,	650	12.2%
5	341	6.4%
1	309	5.8%
2	240	4.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6144	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	2456	40.0%
	674	11.0%
$	650	10.6%
,	650	10.6%
5	341	5.6%
t	336	5.5%
o	312	5.1%
1	309	5.0%
2	240	3.9%
s	48	0.8%
Other values (8)	128	2.1%

Square Footage
Categorical

Distinct	5
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	2.8 KiB

2,500 - 4,999	320
1 - 1,499	18
100,000+	3
10,000 - 19,999	1
40,000 - 99,999	1

Length

Max length	15
Median length	13
Mean length	12.75801749
Min length	8

Characters and Unicode

Total characters	4376
Distinct characters	10
Distinct categories	5 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.6%

Sample

1st row	2,500 - 4,999
2nd row	2,500 - 4,999
3rd row	2,500 - 4,999
4th row	2,500 - 4,999
5th row	2,500 - 4,999

Value	Count	Frequency (%)
2,500 - 4,999	320	93.3%
1 - 1,499	18	5.2%
100,000+	3	0.9%
10,000 - 19,999	1	0.3%
40,000 - 99,999	1	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
	340	33.2%
4,999	320	31.3%
2,500	320	31.3%
1	18	1.8%
1,499	18	1.8%
100,000	3	0.3%
10,000	1	0.1%
99,999	1	0.1%
19,999	1	0.1%
40,000	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
9	1005	23.0%
	680	15.5%
,	665	15.2%
0	663	15.2%
-	340	7.8%
4	339	7.7%
2	320	7.3%
5	320	7.3%
1	41	0.9%
+	3	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2688	61.4%
Space Separator	680	15.5%
Other Punctuation	665	15.2%
Dash Punctuation	340	7.8%
Math Symbol	3	0.1%

Most frequent character per category

Value	Count	Frequency (%)
9	1005	37.4%
0	663	24.7%
4	339	12.6%
2	320	11.9%
5	320	11.9%
1	41	1.5%

Value	Count	Frequency (%)
,	665	100.0%

Value	Count	Frequency (%)
	680	100.0%

Value	Count	Frequency (%)
-	340	100.0%

Value	Count	Frequency (%)
+	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4376	100.0%

Most frequent character per script

Value	Count	Frequency (%)
9	1005	23.0%
	680	15.5%
,	665	15.2%
0	663	15.2%
-	340	7.8%
4	339	7.7%
2	320	7.3%
5	320	7.3%
1	41	0.9%
+	3	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4376	100.0%

Most frequent character per block

Value	Count	Frequency (%)
9	1005	23.0%
	680	15.5%
,	665	15.2%
0	663	15.2%
-	340	7.8%
4	339	7.7%
2	320	7.3%
5	320	7.3%
1	41	0.9%
+	3	0.1%

Telcom Expenses
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	1.2%
Missing	5
Missing (%)	1.5%
Memory size	2.8 KiB

$2,000 to $5,000	283
$5,000 to $20,000	39
Less than $2,000	14
Over $250,000	2

Length

Max length	17
Median length	16
Mean length	16.09763314
Min length	13

Characters and Unicode

Total characters	5441
Distinct characters	17
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$2,000 to $5,000
2nd row	$2,000 to $5,000
3rd row	$2,000 to $5,000
4th row	$2,000 to $5,000
5th row	$2,000 to $5,000

Value	Count	Frequency (%)
$2,000 to $5,000	283	82.5%
$5,000 to $20,000	39	11.4%
Less than $2,000	14	4.1%
Over $250,000	2	0.6%
(Missing)	5	1.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
5,000	322	31.8%
to	322	31.8%
2,000	297	29.3%
20,000	39	3.9%
less	14	1.4%
than	14	1.4%
250,000	2	0.2%
over	2	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	2021	37.1%
	674	12.4%
$	660	12.1%
,	660	12.1%
2	338	6.2%
t	336	6.2%
5	324	6.0%
o	322	5.9%
s	28	0.5%
e	16	0.3%
Other values (7)	62	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2683	49.3%
Lowercase Letter	748	13.7%
Space Separator	674	12.4%
Currency Symbol	660	12.1%
Other Punctuation	660	12.1%
Uppercase Letter	16	0.3%

Most frequent character per category

Value	Count	Frequency (%)
t	336	44.9%
o	322	43.0%
s	28	3.7%
e	16	2.1%
h	14	1.9%
a	14	1.9%
n	14	1.9%
v	2	0.3%
r	2	0.3%

Value	Count	Frequency (%)
0	2021	75.3%
2	338	12.6%
5	324	12.1%

Value	Count	Frequency (%)
L	14	87.5%
O	2	12.5%

Value	Count	Frequency (%)
$	660	100.0%

Value	Count	Frequency (%)
,	660	100.0%

Value	Count	Frequency (%)
	674	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4677	86.0%
Latin	764	14.0%

Most frequent character per script

Value	Count	Frequency (%)
t	336	44.0%
o	322	42.1%
s	28	3.7%
e	16	2.1%
L	14	1.8%
h	14	1.8%
a	14	1.8%
n	14	1.8%
O	2	0.3%
v	2	0.3%

Value	Count	Frequency (%)
0	2021	43.2%
	674	14.4%
$	660	14.1%
,	660	14.1%
2	338	7.2%
5	324	6.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5441	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	2021	37.1%
	674	12.4%
$	660	12.1%
,	660	12.1%
2	338	6.2%
t	336	6.2%
5	324	6.0%
o	322	5.9%
s	28	0.5%
e	16	0.3%
Other values (7)	62	1.1%

Utilities Expenses
Categorical

MISSING

Distinct	7
Distinct (%)	2.1%
Missing	5
Missing (%)	1.5%
Memory size	2.8 KiB

$2,000 to $5,000	199
$25,000 to $50,000	68
$5,000 to $10,000	23
$10,000 to $25,000	22
Less than $2,000	15
Other values (2)	11

Length

Max length	19
Median length	16
Mean length	16.66272189
Min length	13

Characters and Unicode

Total characters	5632
Distinct characters	18
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$2,000 to $5,000
2nd row	$25,000 to $50,000
3rd row	$2,000 to $5,000
4th row	$2,000 to $5,000
5th row	$25,000 to $50,000

Value	Count	Frequency (%)
$2,000 to $5,000	199	58.0%
$25,000 to $50,000	68	19.8%
$5,000 to $10,000	23	6.7%
$10,000 to $25,000	22	6.4%
Less than $2,000	15	4.4%
$50,000 to $100,000	9	2.6%
Over $100,000	2	0.6%
(Missing)	5	1.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	321	31.7%
5,000	222	21.9%
2,000	214	21.1%
25,000	90	8.9%
50,000	77	7.6%
10,000	45	4.4%
less	15	1.5%
than	15	1.5%
100,000	11	1.1%
over	2	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	2121	37.7%
	674	12.0%
$	659	11.7%
,	659	11.7%
5	389	6.9%
t	336	6.0%
o	321	5.7%
2	304	5.4%
1	56	1.0%
s	30	0.5%
Other values (8)	83	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2870	51.0%
Lowercase Letter	753	13.4%
Space Separator	674	12.0%
Currency Symbol	659	11.7%
Other Punctuation	659	11.7%
Uppercase Letter	17	0.3%

Most frequent character per category

Value	Count	Frequency (%)
t	336	44.6%
o	321	42.6%
s	30	4.0%
e	17	2.3%
h	15	2.0%
a	15	2.0%
n	15	2.0%
v	2	0.3%
r	2	0.3%

Value	Count	Frequency (%)
0	2121	73.9%
5	389	13.6%
2	304	10.6%
1	56	2.0%

Value	Count	Frequency (%)
L	15	88.2%
O	2	11.8%

Value	Count	Frequency (%)
$	659	100.0%

Value	Count	Frequency (%)
,	659	100.0%

Value	Count	Frequency (%)
	674	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4862	86.3%
Latin	770	13.7%

Most frequent character per script

Value	Count	Frequency (%)
t	336	43.6%
o	321	41.7%
s	30	3.9%
e	17	2.2%
L	15	1.9%
h	15	1.9%
a	15	1.9%
n	15	1.9%
O	2	0.3%
v	2	0.3%

Value	Count	Frequency (%)
0	2121	43.6%
	674	13.9%
$	659	13.6%
,	659	13.6%
5	389	8.0%
2	304	6.3%
1	56	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5632	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	2121	37.7%
	674	12.0%
$	659	11.7%
,	659	11.7%
5	389	6.9%
t	336	6.0%
o	321	5.7%
2	304	5.4%
1	56	1.0%
s	30	0.5%
Other values (8)	83	1.5%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Advertising Expenses	Accounting Expenses	Address	City	State	County	Metro Area	Neighborhood	ZIP Code	ZIP Four	Year Established	Years In Database	Company Name	Computer Expenses	Contract Labor Expenses	Corporate Sales Volume Actual	Insurance Expenses	Last Updated On	Legal Expenses	Location Employee Size Actual	Location Employee Size Range	Location Sales Volume Actual	Location Sales Volume Range	Management/Administration Expenses	Office Supplies Expense	Own or Lease	Package Container Expense	Payroll and Benefits Expenses	Purchase Print Expenses	Rent Expenses	Square Footage	Telcom Expenses	Utilities Expenses
0	$20,000 to $50,000	$2,500 to $5,000	1104 Sunrise Hwy	Amityville	NY	Suffolk	Nw Yrk, NY-NJ-PA	North Amityville	11701	2513.0	NaN	30	Burger King	$1,000 to $2,500	$1,000 to $10,000	$0	$10,000 to $25,000	202011	$1,000 to $2,500	21	20 to 49	$1,180,000	$1-2.5 Million	$5,000 to $10,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$250,000 to $500,000	$1,000 to $2,500	$10,000 to $25,000	2,500 - 4,999	$2,000 to $5,000	$2,000 to $5,000
1	$20,000 to $50,000	$2,500 to $5,000	3310 21st St	Astoria	NY	Queens	Nw Yrk, NY-NJ-PA	Astoria	11106	4239.0	NaN	7	Burger King	$1,000 to $2,500	$1,000 to $10,000	$0	$10,000 to $25,000	202011	$1,000 to $2,500	25	20 to 49	$1,186,000	$1-2.5 Million	$5,000 to $10,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$250,000 to $500,000	$1,000 to $2,500	$50,000 to $100,000	2,500 - 4,999	$2,000 to $5,000	$25,000 to $50,000
2	$20,000 to $50,000	$2,500 to $5,000	3310 Astoria Blvd	Astoria	NY	Queens	Nw Yrk, NY-NJ-PA	Astoria	11103	4412.0	NaN	24	Burger King	$1,000 to $2,500	$1,000 to $10,000	$0	$10,000 to $25,000	202011	$1,000 to $2,500	25	20 to 49	$1,186,000	$1-2.5 Million	$5,000 to $10,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$250,000 to $500,000	$1,000 to $2,500	$10,000 to $25,000	2,500 - 4,999	$2,000 to $5,000	$2,000 to $5,000
3	$20,000 to $50,000	$2,500 to $5,000	335 E Main St	Bay Shore	NY	Suffolk	Nw Yrk, NY-NJ-PA	Bay Shore	11706	8410.0	NaN	37	Burger King	$1,000 to $2,500	$1,000 to $10,000	$0	$10,000 to $25,000	202011	$1,000 to $2,500	25	20 to 49	$1,405,000	$1-2.5 Million	$5,000 to $10,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$250,000 to $500,000	$1,000 to $2,500	$10,000 to $25,000	2,500 - 4,999	$2,000 to $5,000	$2,000 to $5,000
4	$20,000 to $50,000	$2,500 to $5,000	22210 Northern Blvd	Bayside	NY	Queens	Nw Yrk, NY-NJ-PA	Bayside	11361	3640.0	NaN	37	Burger King	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202011	$1,000 to $2,500	35	20 to 49	$1,660,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	Own	$10,000 to $25,000	$250,000 to $500,000	$1,000 to $2,500	$50,000 to $100,000	2,500 - 4,999	$2,000 to $5,000	$25,000 to $50,000
5	$20,000 to $50,000	$2,500 to $5,000	4201 Hempstead Tpke	Bethpage	NY	Nassau	Nw Yrk, NY-NJ-PA	Plainedge	11714	5701.0	NaN	37	Burger King	$1,000 to $2,500	$1,000 to $10,000	$0	$10,000 to $25,000	202011	$1,000 to $2,500	24	20 to 49	$1,357,000	$1-2.5 Million	$5,000 to $10,000	$20,000 to $50,000	Unknown	$10,000 to $25,000	$250,000 to $500,000	$1,000 to $2,500	$10,000 to $25,000	2,500 - 4,999	$2,000 to $5,000	$2,000 to $5,000
6	$20,000 to $50,000	$1,000 to $2,500	32 Montauk Hwy	Blue Point	NY	Suffolk	Nw Yrk, NY-NJ-PA	Blue Point	11715	1139.0	NaN	37	Burger King	$1,000 to $2,500	$1,000 to $10,000	$0	$10,000 to $25,000	202011	$1,000 to $2,500	16	10 to 19	$899,000	$500,000-1 Million	$5,000 to $10,000	$10,000 to $20,000	NaN	$5,000 to $10,000	$250,000 to $500,000	$500 to $1,000	$10,000 to $25,000	2,500 - 4,999	$2,000 to $5,000	$2,000 to $5,000
7	$20,000 to $50,000	$2,500 to $5,000	5141 Sunrise Hwy	Bohemia	NY	Suffolk	Nw Yrk, NY-NJ-PA	Bohemia	11716	4615.0	NaN	20	Burger King	$1,000 to $2,500	$1,000 to $10,000	$0	$10,000 to $25,000	202011	$1,000 to $2,500	27	20 to 49	$1,517,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$250,000 to $500,000	$1,000 to $2,500	$50,000 to $100,000	2,500 - 4,999	$2,000 to $5,000	$5,000 to $10,000
8	$20,000 to $50,000	$2,500 to $5,000	1519 Route 22	Brewster	NY	Putnam	Nw Yrk, NY-NJ-PA	NaN	10509	4009.0	NaN	33	Burger King	$1,000 to $2,500	$1,000 to $10,000	$0	$10,000 to $25,000	202011	$1,000 to $2,500	18	10 to 19	$958,000	$500,000-1 Million	$5,000 to $10,000	$10,000 to $20,000	Own	$5,000 to $10,000	$250,000 to $500,000	$500 to $1,000	Less than $10,000	2,500 - 4,999	$2,000 to $5,000	Less than $2,000
9	$20,000 to $50,000	$2,500 to $5,000	Route 22	Brewster	NY	Putnam	Nw Yrk, NY-NJ-PA	NaN	10509	NaN	NaN	10	Burger King	$1,000 to $2,500	$1,000 to $10,000	$0	$10,000 to $25,000	202002	$1,000 to $2,500	25	20 to 49	$1,331,000	$1-2.5 Million	$5,000 to $10,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$250,000 to $500,000	$1,000 to $2,500	$10,000 to $25,000	2,500 - 4,999	$2,000 to $5,000	$2,000 to $5,000

Last rows

	Advertising Expenses	Accounting Expenses	Address	City	State	County	Metro Area	Neighborhood	ZIP Code	ZIP Four	Year Established	Years In Database	Company Name	Computer Expenses	Contract Labor Expenses	Corporate Sales Volume Actual	Insurance Expenses	Last Updated On	Legal Expenses	Location Employee Size Actual	Location Employee Size Range	Location Sales Volume Actual	Location Sales Volume Range	Management/Administration Expenses	Office Supplies Expense	Own or Lease	Package Container Expense	Payroll and Benefits Expenses	Purchase Print Expenses	Rent Expenses	Square Footage	Telcom Expenses	Utilities Expenses
333	$20,000 to $50,000	$2,500 to $5,000	5501 Corporate Way	West Palm Beach	FL	Palm Beach	Miami-Ft Ldr, FL	NaN	33407	2023.0	NaN	37	Burger King	$1,000 to $2,500	$1,000 to $10,000	$0	$10,000 to $25,000	202011	$1,000 to $2,500	20	20 to 49	$1,055,000	$1-2.5 Million	$5,000 to $10,000	$20,000 to $50,000	Lease	$5,000 to $10,000	$250,000 to $500,000	$1,000 to $2,500	$50,000 to $100,000	2,500 - 4,999	$2,000 to $5,000	$25,000 to $50,000
334	$10,000 to $20,000	$1,000 to $2,500	6903 Okeechobee Blvd	West Palm Beach	FL	Palm Beach	Miami-Ft Ldr, FL	Riverwalk Of The Palm Beaches	33411	2509.0	NaN	23	Burger King	$1,000 to $2,500	$1,000 to $10,000	$0	$10,000 to $25,000	202011	$1,000 to $2,500	15	10 to 19	$791,000	$500,000-1 Million	$5,000 to $10,000	$10,000 to $20,000	Unknown	$5,000 to $10,000	$100,000 to $250,000	$500 to $1,000	$25,000 to $50,000	2,500 - 4,999	$2,000 to $5,000	$2,000 to $5,000
335	$20,000 to $50,000	$2,500 to $5,000	815 S Congress Ave	West Palm Beach	FL	Palm Beach	Miami-Ft Ldr, FL	NaN	33406	4118.0	NaN	37	Burger King	$1,000 to $2,500	$1,000 to $10,000	$0	$10,000 to $25,000	202011	$1,000 to $2,500	28	20 to 49	$1,476,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	Own	$10,000 to $25,000	$250,000 to $500,000	$1,000 to $2,500	$50,000 to $100,000	2,500 - 4,999	$2,000 to $5,000	$25,000 to $50,000
336	$20,000 to $50,000	$2,500 to $5,000	Florida Turnpike Mile Post 94	West Palm Beach	FL	Palm Beach	Miami-Ft Ldr, FL	NaN	33413	NaN	NaN	2	Burger King	$1,000 to $2,500	$1,000 to $10,000	$0	$10,000 to $25,000	202011	$1,000 to $2,500	25	20 to 49	$1,318,000	$1-2.5 Million	$5,000 to $10,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$250,000 to $500,000	$1,000 to $2,500	$10,000 to $25,000	2,500 - 4,999	$2,000 to $5,000	$2,000 to $5,000
337	$20,000 to $50,000	$2,500 to $5,000	2631 S State Road 7	West Park	FL	Broward	Miami-Ft Ldr, FL	West Park	33023	4101.0	NaN	22	Burger King	$1,000 to $2,500	$1,000 to $10,000	$0	$10,000 to $25,000	202011	$1,000 to $2,500	30	20 to 49	$1,564,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$250,000 to $500,000	$1,000 to $2,500	$50,000 to $100,000	2,500 - 4,999	$2,000 to $5,000	$25,000 to $50,000
338	$20,000 to $50,000	$2,500 to $5,000	3 Weston Rd	Weston	FL	Broward	Miami-Ft Ldr, FL	New River Estates	33326	1110.0	NaN	30	Burger King	$1,000 to $2,500	$1,000 to $10,000	$0	$10,000 to $25,000	202011	$1,000 to $2,500	25	20 to 49	$1,303,000	$1-2.5 Million	$5,000 to $10,000	$20,000 to $50,000	Lease	$10,000 to $25,000	$250,000 to $500,000	$1,000 to $2,500	$50,000 to $100,000	2,500 - 4,999	$2,000 to $5,000	$25,000 to $50,000
339	$20,000 to $50,000	$2,500 to $5,000	1 W Oakland Park Blvd	Wilton Manors	FL	Broward	Miami-Ft Ldr, FL	Sleepy River	33311	2519.0	NaN	37	Burger King	$1,000 to $2,500	$1,000 to $10,000	$0	$10,000 to $25,000	202011	$1,000 to $2,500	30	20 to 49	$1,564,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	Lease	$10,000 to $25,000	$250,000 to $500,000	$1,000 to $2,500	$50,000 to $100,000	2,500 - 4,999	$2,000 to $5,000	$25,000 to $50,000
340	NaN	NaN	5505 Blue Lagoon Dr	Miami	FL	Miami Dade	Miami-Ft Ldr, FL	Blue Lagoon East	33126	2029.0	2002.0	15	Burger King Holdings Inc	NaN	NaN	$803,666,000	NaN	202008	NaN	1000	1000 to 4999	$0	NaN	NaN	NaN	NaN	NaN	Over $10 Million	NaN	NaN	100,000+	NaN	NaN
341	Over $250,000	Over $25,000	5707 Blue Lagoon Dr	Miami	FL	Miami Dade	Miami-Ft Ldr, FL	Blue Lagoon West	33126	2015.0	1954.0	9	Burger King Worldwide Inc	Over $50,000	Over $500,000	$1,146,300,000	Over $100,000	202008	Over $25,000	1000	1000 to 4999	$0	NaN	Over $100,000	Over $250,000	NaN	Over $50,000	Over $10 Million	Over $25,000	Over $500,000	100,000+	Over $250,000	Over $100,000
342	$5,000 to $10,000	$500 to $1,000	3300 E 4th Ave # 6	Hialeah	FL	Miami Dade	Miami-Ft Ldr, FL	Bougainvillea Place	33013	3099.0	2019.0	2	Veggie Burger King Corp	Less than $500	$1,000 to $10,000	$0	$2,500 to $5,000	201907	Less than $500	6	5 to 9	$312,000	Less Than $500,000	Less than $2,500	$5,000 to $10,000	NaN	$1,000 to $5,000	Less than $100,000	Less than $500	$10,000 to $25,000	2,500 - 4,999	Less than $2,000	$2,000 to $5,000

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